Call for Papers

The Workshop on Open-World Robust Machine Learning (OWRML'26),
co-located with PRICAI 2026, invites submissions on robust,
adaptive, and trustworthy machine learning methods for open-world
environments.

Topics of interest include, but are not limited to:

• Weakly supervised learning
• Noisy-label and partial-label learning
• Open-set recognition
• Out-of-distribution learning
• Domain generalization and adaptation
• Novel class discovery
• Test-time adaptation
• Continual and lifelong learning
• Few-shot and zero-shot learning
• Concept drift
• Fairness, calibration, and uncertainty
• Trustworthy and robust AI

Important Dates

Paper Submission Deadline: September 15, 2026
Acceptance Notification: October 12, 2026
Camera-ready Deadline: October 23, 2026

Submission:
https://easychair.org/conferences/?conf=owrml2026

Workshop Website:
https://zwl00000.github.io/